Hugging Face's logo

keras-io
/
monocular-depth-estimation

TF-Keras
TensorBoard
Model card Files Metrics Community
2
vumichien commited on
Commit
925e670
·
1 Parent(s): 4621f87

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +4 -2
README.md CHANGED
@@ -4,9 +4,11 @@ tags:
4
  library_name: keras
5
  ---
6
  ## Model description
7
- Full credits go to: [Vu Minh Chien](https://www.linkedin.com/in/vumichien/)
8
 
9
- Depth estimation is a crucial step towards inferring scene geometry from 2D images. The goal in monocular depth estimation is to predict the depth value of each pixel or inferring depth information, given only a single RGB image as input.
 
 
10
 
11
  ## Dataset
12
  [NYU Depth Dataset V2](https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html) is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Kinect.
 
4
  library_name: keras
5
  ---
6
  ## Model description
7
+ The original idea from Keras examples [Monocular depth estimation](https://keras.io/examples/vision/depth_estimation/) of [Victor Basu](https://www.linkedin.com/in/victor-basu-520958147/)
8
 
9
+ Full credits go to [Vu Minh Chien](https://www.linkedin.com/in/vumichien/)
10
+
11
+ Depth estimation is a crucial step towards inferring scene geometry from 2D images. The goal in monocular depth estimation is to predict the depth value of each pixel or infer depth information, given only a single RGB image as input.
12
 
13
  ## Dataset
14
  [NYU Depth Dataset V2](https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html) is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Kinect.